Yao Qin
Yao Qin
Research Scientist, Google Brain
Verified email at google.com - Homepage
Cited by
Cited by
Saliency Detection via Cellular Automata
Y Qin, H Lu, Y Xu, H Wang
Computer Vision and Pattern Recognition (CVPR), 2015, 110-119, 2015
A Dual-Stage Attention-Based Recurrent Neural Network for Time Series Prediction
Y Qin, D Song, H Chen, W Cheng, G Jiang, G Cottrell
International Joint Conference on Artificial Intelligence (IJCAI), 2017, 2017
Imperceptible, Robust and Targeted Adversarial Examples for Automatic Speech Recognition
Y Qin, N Carlini, I Goodfellow, G Cottrell, C Raffel
International Conference on Machine Learning (ICML), 2019., 2019
Autofocus Layer for Semantic Segmentation
Y Qin, K Kamnitsas, S Ancha, J Nanavati, G Cottrell, A Criminisi, A Nori
International Conference on Medical Image Computing and Computer Assisted …, 2018
Hierarchical Cellular Automata for Visual Saliency
Y Qin, M Feng, H Lu, GW Cottrell
International Journal of Computer Vision (IJCV), 2018, 2018
Detecting and Diagnosing Adversarial Images with Class-Conditional Capsule Reconstructions
Y Qin*, N Frosst*, S Sabour, C Raffel, G Cottrell, G Hinton
International Conference on Learning Representations (ICLR), 2020, 2020
Deflecting Adversarial Attacks
Y Qin, N Frosst, C Raffel, G Cottrell, G Hinton
Opinion Evolution in Open Community
Q Pan, Y Qin, Y Xu, M Tong, M He
International Journal of Modern Physics C 28 (01), 1750003, 2017
Improving uncertainty estimates through the relationship with adversarial robustness
Y Qin, X Wang, A Beutel, EH Chi
arXiv preprint arXiv:2006.16375, 2020
Evaluation Methodology for Attacks against Confidence Thresholding Models
I Goodfellow, Y Qin, D Berthelot
Dual stage attention based recurrent neural network for time series prediction
D Song, H Chen, G Jiang, Y Qin
US Patent 10,929,674, 2021
CAT-Gen: Improving Robustness in NLP Models via Controlled Adversarial Text Generation
T Wang, X Wang, Y Qin, B Packer, K Li, J Chen, A Beutel, E Chi
EMNLP 2020, 2020
Detecting, Diagnosing, Deflecting and Designing Adversarial Attacks
Y Qin
UC San Diego, 2020
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